11 data-analytics Postdoctoral research jobs at University of Minnesota in United-States
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This position includes duties related to molecular biology, data analytics and manuscript development within a computational
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. Participate in the design, implementation, and evaluation of a research project. Prepare and present data to study investigators. Author, co-author, and otherwise collaborate on reports, conference papers and
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of Minnesota is seeking two postdoctoral research associates to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process
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experimentation, data analysis, and scholarly communication. Experience with plasma chemistry, catalytic lignin upgrading, nanomaterial synthesis, biobased materials, and biochar characterization will be highly
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reporter proteins in vivo in mouse eyes. 10%- Participate in meetings with principal investigator and research staff and evaluate/interpret the validity of data as needed. 5%- Carry out assigned duties
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and rural settings. 15% Coordinates behavioral playback data collection 20% Develops analytical pipeline to model how the space use and behavior of each species changes across the urbanization gradient
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expression of fungi in response to selenium exposure - Work with bioinformaticians to analyze fungal transcriptomics and proteomics data 45% COMMUNICATION - Communicate results through peer-reviewed
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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%) •Preparation of scientific reports and paper writing (25%), • Neuroimaging data analytics (25%) •Grant writing (25%) Additional Job Duties: ●Assist with neuromodulation, physiology and MRI data acquisition and
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analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential